{"id":"W3126263844","doi":"10.1093/europace/euaa279","title":"Dynamic risk assessment to improve quality of care in patients with atrial fibrillation: the 7th AFNET/EHRA Consensus Conference","year":2020,"lang":"en","type":"article","venue":"EP Europace","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Population Health Research Institute","funders":"National Institute for Health and Care Research; Kompetenznetz Vorhofflimmern","keywords":"Atrial fibrillation; Medicine; Risk stratification; Risk assessment; Intensive care medicine; Implantable loop recorder; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002157314,0.0001342733,0.0003335378,0.00004308971,0.00004965955,0.0000208153,0.00007541442,0.00003087776,0.00005030474],"category_scores_gemma":[0.0004415214,0.00008919141,0.00009343447,0.0002969576,0.00004946362,0.00003355545,0.00008050269,0.0001270412,0.00001777893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005822106,"about_ca_system_score_gemma":0.0001015693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007627301,"about_ca_topic_score_gemma":0.00005360315,"domain_scores_codex":[0.9986288,0.0002078094,0.0003652303,0.0002534021,0.0004017051,0.0001430747],"domain_scores_gemma":[0.9989574,0.0002152092,0.0002520036,0.0002558052,0.0002274361,0.0000921761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00211878,0.000002890039,0.9910486,0.0001024143,0.00005659448,0.000002596519,0.001362352,0.001388291,0.00007637089,0.000236224,0.0001236663,0.003481183],"study_design_scores_gemma":[0.004001799,0.001038443,0.9873733,0.00003098791,0.00009066282,1.356779e-7,0.0008855095,0.00149825,0.0000259797,0.00000938448,0.004930741,0.0001148372],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986766,0.00007202073,0.0004614503,0.01011989,0.0001502691,0.001178679,0.00005257395,0.00003358884,0.001165481],"genre_scores_gemma":[0.9980785,0.00001331617,0.001275938,0.0002022387,0.0001952106,5.446095e-7,0.00003569938,0.00001538524,0.0001831515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01131247,"threshold_uncertainty_score":0.363712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03657173457955894,"score_gpt":0.3407267210889176,"score_spread":0.3041549865093586,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}